摘要
PSO(粒子群算法)是一种随机全局优化技术。该算法简单,易实现,且功能强大。文章研究了水轮机PID调节器参数的优化问题,利用改进PSO对系统所处的不同状态和工况进行了PID参数寻优。仿真结果表明,此种PID控制器比常规PID有更好的动态调节特性和鲁棒性,不失为一种具有较好实用价值的PID参数优化方法。
Particle swarm optimization （PSO） is a stochastic global technique. This method is easy to implement and possesses excellent performance. The optimization of PID parameters in hydro turbine governor is studied. The PID parameters can be adjusted to the varying state of the system. Simulation results show that the PSO-hased PID controller is better than ordinary PID controller in fast response and strong robustness. It is a practical method in the hydro-turblne governing systems.
出处
《电力科学与工程》
2005年第3期48-51,共4页
Electric Power Science and Engineering
关键词
改进粒子群算法
PID
水轮机调节
improved particle swarm optimization
PID
hydroturbine governing
